Charles K. Assaad

37 papers A* 3A 4Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Causal reasoning in difference graphs. CLeaR Charles K. Assaad
2025	J	`jnl`	Identifiability by common backdoor in summary causal graphs of time series. CoRR Clément Yvernes, Charles K. Assaad, Emilie Devijver, Éric Gaussier
2025	J	`jnl`	Identifying Macro Causal Effects in C-DMGs over DMGs. CoRR Simon Ferreira, Charles K. Assaad
2025	J	`jnl`	Identifying Macro Causal Effects in C-DMGs. CoRR Simon Ferreira, Charles K. Assaad
2025	J	`jnl`	Identifying Macro Causal Effects in a C-DMG over ADMGs. Trans. Mach. Learn. Res. Simon Matthieu Ferreira, Charles K. Assaad
2025	A*	`conf`	Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding. AAAI Simon Ferreira, Charles K. Assaad
2025	J	`jnl`	Local Markov Equivalence and Local Causal Discovery for Identifying Controlled Direct Effects. CoRR Timothée Loranchet, Charles K. Assaad
2025	J	`jnl`	On Efficient Adjustment for Micro Causal Effects in Summary Causal Graphs. CoRR Isabela Belciug, Simon Ferreira, Charles K. Assaad
2025	J	`jnl`	Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions. CoRR Timothée Loranchet, Charles K. Assaad
2025	J	`jnl`	Regret-Based Federated Causal Discovery with Unknown Interventions. CoRR Federico Baldo, Charles K. Assaad
2025	J	`jnl`	Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion. Trans. Mach. Learn. Res. Charles K. Assaad
2024	J	`jnl`	Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs. CoRR Simon Ferreira, Charles K. Assaad
2024	J	`jnl`	Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms. Trans. Mach. Learn. Res. Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
2024	J	`jnl`	Causal reasoning in difference graphs. CoRR Charles K. Assaad
2024	J	`jnl`	Discovering maximally consistent distribution of causal tournaments with Large Language Models. CoRR Federico Baldo, Simon Ferreira, Charles K. Assaad
2024	A*	`conf`	Identifiability of Direct Effects from Summary Causal Graphs. AAAI Simon Ferreira, Charles K. Assaad
2024	A	`conf`	Identifiability of total effects from abstractions of time series causal graphs. UAI Charles K. Assaad, Emilie Devijver, Éric Gaussier, Gregor Goessler, Anouar Meynaoui
2024	J	`jnl`	Identifying macro conditional independencies and macro total effects in summary causal graphs with latent confounding. CoRR Simon Ferreira, Charles K. Assaad
2024	A	`conf`	On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CIKM Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
2024	J	`jnl`	On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CoRR Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier
2024	J	`jnl`	Toward identifiability of total effects in summary causal graphs with latent confounders: an extension of the front-door criterion. CoRR Charles K. Assaad
2023	J	`jnl`	Case Studies of Causal Discovery from IT Monitoring Time Series. CoRR Ali Aït-Bachir, Charles K. Assaad, Christophe de Bignicourt, Emilie Devijver, Simon Ferreira, Éric Gaussier, Hosein Mohanna, Lei Zan
2023	J	`jnl`	Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series. CoRR Charles K. Assaad, Daria Bystrova, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
2023	J	`jnl`	Identifiability of direct effects from summary causal graphs. CoRR Simon Ferreira, Charles K. Assaad
2023	J	`jnl`	Identifiability of total effects from abstractions of time series causal graphs. CoRR Charles K. Assaad, Emilie Devijver, Éric Gaussier, Gregor Gössler, Anouar Meynaoui
2023	A	`conf`	Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops. AISTATS Charles K. Assaad, Imad Ez-zejjari, Lei Zan
2023	J	`jnl`	Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops. CoRR Charles K. Assaad, Imad Ez-zejjari, Lei Zan
2023	A*	`conf`	Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). IJCAI Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test. Entropy Lei Zan, Anouar Meynaoui, Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	A	`conf`	Discovery of extended summary graphs in time series. UAI Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	Entropy-Based Discovery of Summary Causal Graphs in Time Series. Entropy Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	Inferring extended summary causal graphs from observational time series. CoRR Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	Survey and Evaluation of Causal Discovery Methods for Time Series. J. Artif. Intell. Res. Charles K. Assaad, Emilie Devijver, Éric Gaussier
2021	—	`conf`	A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series. ECML/PKDD (1) Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
2021	—	`—`	Causal Discovery between time series. (Découvertes de relations causales entreséries temporelles). Charles K. Assaad
2021	J	`jnl`	Entropy-based Discovery of Summary Causal Graphs in Time Series. CoRR Charles K. Assaad, Emilie Devijver, Éric Gaussier
2019	—	`conf`	Scaling Causal Inference in Additive Noise Models. CD@KDD Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir